Skip to main content

A Decidable Fuzzy Description Logic F-ALC(G)

  • Conference paper
Database and Expert Systems Applications (DEXA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5181))

Included in the following conference series:

Abstract

The existing Web Ontology languages and the corresponding description logics don’t support customized data type information. Furthermore, they can’t process imprecise and uncertain information in the Semantic Web. In order to solve these limitations, we propose a new kind of fuzzy description logic, F-ALC(G), which can not only support the representation and reasoning of fuzzy concept knowledge, but also support fuzzy data information with customized fuzzy data types and customized fuzzy data type predicates.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zadeh, L.A.: Fuzzy sets. J. Information and Control 8, 338–353 (1965)

    Google Scholar 

  2. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  3. Straccia, U.: Reasoning within fuzzy description logics. J. Journal of Artificial Intelligence Research 14, 137–166 (2001)

    Google Scholar 

  4. Stoilos, G., Stamou, G., Pan, J.Z., Tzouvaras, V., Horrocks, I.: Reasoning with Very Expressive Fuzzy Description Logics. J. Journal of Artificial Intelligence Research 30, 273–320 (2007)

    Google Scholar 

  5. Horrocks, I., Sattler, U.: Ontology reasoning in the SHOQ(D) description logic. In: Proc. 17th International Joint Conference on Artificial Intelligence, pp. 199–204 (2001)

    Google Scholar 

  6. Straccia, U.: Towards a fuzzy description logic for the Semantic Web (Preliminary Report). In: Proc. the 2nd European Semantic Web Conference, pp. 167–181 (2005)

    Google Scholar 

  7. Pan, J.Z., Horrocks, I.: OWL-Eu: Adding Customised Data types into OWL. J. Journal of Web Semantics 4, 29–49 (2006)

    Google Scholar 

  8. Pan, J.Z.: A Flexible Ontology Reasoning Architecture for the Semantic Web. J. IEEE Transaction on Knowledge and Data Engineering 19, 246–260 (2007)

    Google Scholar 

  9. Wang, H.L., Ma, Z.M., Yan, L., Cheng, J.W.: A Fuzzy Description Logic with Fuzzy Data Type Group. In: Proc. the 2008 IEEE International Conference on Fuzzy Systems, pp. 1534–1541. IEEE Press, Hong Kong (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Sourav S. Bhowmick Josef Küng Roland Wagner

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, H., Ma, Z.M. (2008). A Decidable Fuzzy Description Logic F-ALC(G). In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2008. Lecture Notes in Computer Science, vol 5181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85654-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85654-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85653-5

  • Online ISBN: 978-3-540-85654-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics